国政名下证件 😉😉😉 国政app绑定所有证件照 有多少出多少,一个证件也正常收,空不收费 提供:姓名证件号大头 不需要有效期
❤1
Signed 杨意

Channel
@Yangyi_C
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
12,505subscribers
-108 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003913587504 |
|---|---|
| Type | Channel |
| Username | @Yangyi_C |
| Created | Between 1 April 2026 and 22 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/Yangyi_C |
Hacking & security — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 21:20 | 12,505 | -8 |
| 15 Sept 2026, 18:57 | 12,513 | -3 |
| 14 Sept 2026, 03:15 | 12,516 | -8 |
| 12 Sept 2026, 08:58 | 12,524 | -9 |
| 10 Sept 2026, 02:59 | 12,533 | -10 |
| 6 Sept 2026, 20:21 | 12,543 | -7 |
| 4 Sept 2026, 04:41 | 12,550 | -3 |
| 2 Sept 2026, 16:47 | 12,553 | -1 |
| 1 Sept 2026, 15:26 | 12,554 | -1 |
| 30 Aug 2026, 13:53 | 12,555 | -2 |
| 29 Aug 2026, 11:55 | 12,557 | -2 |
| 28 Aug 2026, 10:04 | 12,559 | -1 |
| 27 Aug 2026, 07:55 | 12,560 | -3 |
| 26 Aug 2026, 04:43 | 12,563 | -5 |
| 25 Aug 2026, 01:47 | 12,568 | -5 |
| 23 Aug 2026, 16:49 | 12,573 | -3 |
| 22 Aug 2026, 05:35 | 12,576 | -7 |
| 20 Aug 2026, 19:02 | 12,583 | -1 |
| 19 Aug 2026, 17:53 | 12,584 | -8 |
| 17 Aug 2026, 22:08 | 12,592 | first reading |
38 posts held, back to 22 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 48 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 29 August 2026 |
|---|---|
| Posts held | 38 (22 July 2026 – 29 August 2026) |
| Views total | 183 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 21:27 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
4 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 75.0% | |
| 👏 | 1 | 25.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 4 of the 38 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 22 July 2026 to 29 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
国政名下证件 😉😉😉 国政app绑定所有证件照 有多少出多少,一个证件也正常收,空不收费 提供:姓名证件号大头 不需要有效期
❤1
Signed 杨意
安卓手机入侵 😀😀😀😀隔天回单 手机号绑定的安卓开启了上传云端就能入侵,可以看到使用者【【保存的照片,手机定位位置[需要开启防丢失功能才可以查看],短信,通讯录,视频各类信息】 报单:手机号,姓名,手机型号,如果没有的话就报手机品牌
Signed 杨意
个人所得税 😀😀😀 平替社保 看工作单位 什么用处自己想 指定一年记录 天花板级别业务 带工资带单位 当天回 看工作,看敏感,看收入必备项目
Signed 杨意
边控稳定 😀😀😀 带边控事由详情 默认出最新 稳定回单 涉诈|公安决控|法院决控 工作日当天隔天回 空给图收费
Signed 杨意
苏宁易购➕唯品会 app 强登😀😀🐛 当天隔天回单 空给视频收费 可看全部订单 全部内容 提供:名字身份证➕绑定手机号 头报单
Signed 杨意
恢复 恢复 美团外卖地址 出6个月内 最近1条记录 😉😉😉 最近3条记录😉😉😉😉 回单:文字编辑地址➕带时间 当天或隔天回 每天限量20个 联系 @wiwnn
Signed 杨意
美团开房下单记录😀😀😀 保最新一页,不管多久都出没有时间限制。 客服 @wiwnn
Signed 杨意
京东快递外卖 最新三条 错一赔三
Signed 杨意
京东快递外卖 最新三条 错一赔三
❤1
Signed 杨意
微信流水带id 快线开 晚上发车 一周回单只快不慢 一年😉😉😉😉😉两年 😉😉😉😉😉 三年😉😉😉😉😉四年😉😉😉😉😉 五年😉😉😉😉😉 敏感收费不给单 报单发车后不撤 收必回 限量 带身份证报单 身份证号必须是微信的绑定身份证(错误信息吃单)
❤1
Signed 杨意
#频道互推 #相似推荐 ------------------------------ 📢 分享用频道 📢 【丰田】社工库开户开盒查档查人查车 📢 代认证/备案域名加急/注册营业执照/ 📢 ws群发【WhatsApp群发】ws打粉、引流 📢 大头四方实卡接马⚠ 📢 全球海外注册卡流量卡邮寄 📢 WS实卡接码【绮梦号商】 📢 盛源,澳六出货,资源对接 📢 肉鸡出售 出售灰产肉鸡 远程控制 远控肉鸡 📢 七年商家-巴豆、大黄蜂、OKC 、boo ------------------------------ ☁️ 互推入口:@sooo
Signed SOSO搜搜
独家高德地图轨迹😉😉😉😉 老线回归 稳定回单 渠道在线 就秒回单 独家渠道 全网唯一 同行代理找我拿价格 利润拉满 历史所有去过地址 历史所有打车记录 高德机票记录 高德订酒店 能出酒店记录 他历史旅游记录+时间 所有导航记录 没有遗漏 概率出车牌号 只要在高德上使用过的都能显示 抓人神器 比美团 邮政 各种外卖快递都好 敏感提前说加钱出 不提前说收费不出单! 报单提供 姓名 身份证 手机号
Signed 杨意
Showing the 12 most recent of 38 posts we hold for @Yangyi_C. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
@Yangyi_C edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 September 2026 — this entry's latest reading, not the date you are reading this.
“杨意查档” (@Yangyi_C), 12,505 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Yangyi_C.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.